An oximeter measures oxygen saturation for two or more different tissue depths and shows these results on a screen. A probe of the oximeter has multiple different distances between source and detector sensors. One probe implementation has fixed sensor positions. Other implementations include sensors on a moveable platform or openings to accept sensors, which allow a user to vary a distance between sensors.

A life management system receives data from a client device worn by a user, the data comprising biotelemetry data and activity data collected about a user wearing the client device. The life management system generates snapshot information using information from a group consisting of: the biotelemetry data, activity data, social data associated with the user, and user profile information associated with the user. The life management system generates a recommendation using portions of the snapshot information, and updates the snapshot information with the recommendation. The life management system executes a recommendation associated with the snapshot information in accordance with the user controls associated with the user.

A method of predicting a healthcare event includes: receiving via an input device, classifying personal information for each of a plurality of persons; collecting measurements of at least one health indicator during a predefined learning period; creating a personal physiological pattern profile, based on the collected data; associating each of the plurality of persons to a physiological cluster based on each person's personal physiological pattern profile and based on the classifying personal information of each of the plurality of persons; creating, for each physiological cluster, a health indicator deviation pattern for the healthcare event; continuously monitoring values of the health indicator of the person; and determining an occurrence probability of the healthcare event when the monitored indicators deviate from the personal physiological pattern profile. A system for predicting a healthcare event is also disclosed.

Systems, apparatuses, and methods are described herein for a communication bus that virtualizes physiological data. Sensors and/or physiological data acquisition devices have different physical connectors which provide physiological data from a patient to a shared interface such as a display or patient monitor. A transfer interface within a mount can receive and interpret data streams associated with one or more physiological data acquisition devices. The transfer interface can prioritize the various data streams associated with the one or more physiological data acquisition devices and generate a single, combined data stream based on the assigned prioritization. The transfer interface can provide the combined data stream for transmission to a patient monitor via an interchangeable transport medium. Another transfer interface can process and/or virtualize the data streams from the physiological data acquisition devices.

An overdose of opioids can cause the user to stop breathing, resulting in death. A physiological monitoring system monitors respiration based on oxygen saturation readings from a fingertip pulse oximeter in communication with a smart mobile device and sends opioid monitoring information from the smart mobile device to an opioid overdose monitoring service. The opioid overdose monitoring service notifies a first set of contacts when the opioid monitoring information.

A fitness tracking system includes a shoe, a monitoring device, and a controller. The monitoring device is mounted on the shoe and includes an accelerometer configured to generate acceleration data corresponding to acceleration of a foot received by the shoe. The controller is operably connected to the accelerometer and is configured to collect sampled acceleration data by sampling the generated acceleration data, to identify foot strike data of the sampled acceleration data, to identify a local minimum of the sampled acceleration data collected prior to the foot strike data, and to determine foot strike characteristic data corresponding to the foot strike data based on an acceleration value at the local minimum.

A system and associated methods for round-the-clock monitoring of an animal's health status includes an animal harness that is worn by the animal, and one or both of a mobile device and a remote server. The animal harness includes a plurality of sensors for collecting health measurements of the animal. The animal harness also includes a transceiver that communicates the heath measurements to one or both of the mobile device and the remote server, where a user may view the health measurements. Firmware in the animal harness, an application running in the mobile device, and software in the remote server processes and corrects the health measurements to generate a health status of the animal and notifications are generated when the animal's health is not within a safe range defined by the user.

Systems include an invasive sensor and a non-invasive sensor for detection of analytes. The invasive sensor detects one or more non-invasively detected analytes, and the non-invasive sensor detects one or more invasively detected analytes. The one or more non-invasively detected analytes and the one or more invasively detected analytes can include at least one analyte in common, or do not include any analytes in common. The detection of the one or more non-invasively detected analytes and the detection of the one or more invasively detected analytes can be used to

A smartphone or other mobile computer device, general purpose or specialized, wherein the smartphone device is configured to actively control the configuration of one or more bladders, compartments, chambers or internal sipes and one or more sensors located in either one or both of a sole or a removable inner sole insert of the footwear of the user and/or located in an apparatus worn or carried by the user, glued unto the user, or implanted in the user. The one or more bladders, compartments, chambers, or sipes, and one or more sensors are configured for computer control. A sole and/or a removable inner sole insert for footwear, including one or more bladders, compartments, chambers, internal sipes and sensors in the sole and/or in a removable insert; or on an insole; all being configured for control by a smartphone or other mobile computer device, general purpose or specialized.

Systems for detecting when a person exhibits a smile with therapeutic benefits including a facial expression detection device and a system processor. The facial expression detection device is configured to acquire facial expression data. The system processor is in data communication with the facial expression detection device and is configured to execute stored computer executable system instructions. The computer executable system instructions include the steps of receiving facial expression parameter data establishing target facial expression criteria, receiving current facial expression data from the facial expression detection device, comparing the current facial expression data to the target facial expression criteria of the facial expression parameter data, and identifying whether the current facial expression data satisfies the target facial expression criteria. The target facial expression criteria define a smile with therapeutic benefits.